Apache Spark Unsupported Features

Using the JDBC Datasource API to access Hive or Impala is not supported

ADLS not Supported for All Spark Components. Microsoft Azure Data Lake Store (ADLS) is a cloud-based filesystem that you can access through Spark applications. Spark with Kudu is not
currently supported for ADLS data. (Hive on Spark is available for ADLS in CDH 5.12 and higher.)

IPython / Jupyter notebooks is not supported. The IPython notebook system (renamed to Jupyter as of IPython 4.0) is not supported.

Certain Spark Streaming features not supported. The mapWithState method is unsupported because it is a nascent unstable API.

Thrift JDBC/ODBC server is not supported

Spark SQL CLI is not supported

GraphX is not supported

SparkR is not supported

Structured Streaming is supported, but the following features of it are not:

Continuous processing, which is still experimental, is not supported

Stream static joins with HBase have not been tested and therefore are not supported

If this documentation includes code, including but not limited to, code examples, Cloudera makes this available to you under the terms of the Apache License, Version 2.0, including any required
notices. A copy of the Apache License Version 2.0 can be found here.